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June 19, 2004

Intersubjectivity in an organic pub

I wrote about intersubjectivity as a direct experience of CI, in a couple of entries of this blog but until recently I didn't put myself in a situation of responsibility for facilitating it. That opportunity was given to me when following our conversation about How local meetings with global experts can boost CI, Chris Macrae invited me to talk to a small group in London, last week. We were all guests of the Duke of Cambridge who was very generous to us. No, not the member of the royal family but a trendy organic pub sporting his name, with good food and a lovely, little patio where we enjoyed the sun and an intriguing conversation. The invitation was to speak about my life's work. Given that it's CI, I thought it would be more interesting to not speak about but trigger an experience of it.

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June 1, 2004

Knowledge Mapping

When I read a speech by Robert Horn, his work became the seed crystal for making sense of a lot of other cognitive mapping technologies, and I got a strong "hit" about their importance and potential. I think this is a key area to add to our understanding of tools for high-quality deliberation and collective intelligence.

Knowledge mapping is a general term that covers
* mapping public issues ("social messes," "wicked problems")(e.g., Robert Horn [see note below])
* mind maps (e.g., Inspiration software)
* pattern languages (e.g., Christopher Alexander)
* dialogue mapping (e.g., CogNexus Institute)
* graphic facilitation (e.g., David Sibbet)
* geographical information mapping (GIS - Geographical Information Systems)
and may include more traditional visuals such as
* quantitative charts and graphs
* process and procedure flow charts
* timelines
* and all other forms of visual presentation of information, especially of relationships (e.g., Edward Tufte)

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FOCUS ON PUBLIC ISSUE MAPPING

Knowledge mapping offers a tremendous resource to enhance the collective intelligence of deliberations about issues or problems. We can lay out what we collectively know, visually clarifying relationships among the relevant factors, actors, sectors, etc., involved with the problem.

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